Controlling for misclassified land use data: A post-classification latent multinomial logit approach
نویسندگان
چکیده
منابع مشابه
Application of eigenvector-based spatial filtering approach to a multinomial logit model for land use data
The present study builds a spatial statistical model for estimating land use maps. Many approaches for modeling land use maps exist in the literatures. A representative method includes a multinomial logit model (Miller and Plantinga, 1999), in which the likelihood of placing each land use category, such as land for building and forest, into each zone is explained by selected attributes such as ...
متن کاملMisclassified multinomial data: a Bayesian approach
In this paper, the problem of inference with misclassified multinomial data is addressed. Over the last years there has been a significant upsurge of interest in the development of Bayesian methods to make inferences with misclassified data. The wide range of applications for several sampling schemes and the importance of including initial information make Bayesian analysis an essential tool to...
متن کاملa new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولGlobal high-resolution land-use change projections: A Bayesian multinomial logit downscaling approach incorporating model uncertainty and spatial effects
Using econometric models to estimate land-use change has a long tradition in literature. Recent contributions show the importance of including spatial information and of using a multinomial framework to take into account the inter-dependencies between the land-use classes. Few studies, however, agree on the relevant determinants of land-use change and there are no contributions so far comparing...
متن کاملPost-classification of Misclassified Pixels by Evidential Reasoning: a Gis Approach for Improving Classification Accuracy of Remote Sensing Data
This paper discusses an approach for extracting supporting evidence from multisource spatial data and by rule-based models to incorporate the evidence with pre-classified Landsat TM data for improving classification accuracy. The process was focused on the extracted "possibly misclassified pixels" (PMPs) only. Based on Dempster-Shafer's theory of evidence, the concepts of homogeneous, heterogen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2015
ISSN: 0034-4257
DOI: 10.1016/j.rse.2015.09.025